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Eric Westman

Karolinska Institutet - Department of Neurobiology, Care Sciences and Society

Sweden

  • Karolinska Institutet - Department of Neurobiology, Care Sciences and Society

SCHOLARLY PAPERS

3

DOWNLOADS

512

TOTAL CITATIONS

7

Scholarly Papers (3)

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1.

A Comparison of Brain Age Estimation And Brain Parenchymal Fraction as Imaging Markers in Multiple Sclerosis

Downloads 328 (228,895)
Citation 2

A Comparison of Brain Age Estimation And Brain Parenchymal Fraction as Imaging Markers in Multiple Sclerosis

Number of pages: 16 Posted: 23 May 2022
Einar August Høgestøl, Tobias Kaufmann, Ann-Marie G. de Lange, Thomas Moridi, Leszek Stawiarz1, Russel Ouellette, Mads L. Pedersen, Benjamin Victor Ineichen, Dani Beck, Daniel Ferrerira, Sebastian Muehlboeck, Synne Brune, Gro Owren Nygaard, Pål Berg-Hansen, Mona Kristiansen Beyer, Piotr Sowa, Ali Manouchehrinia, Eric Westman, Tomas Olsson, Elisabeth Gulowsen Celius, Jan Hillert, Ingrid Skelton Kockum, Hanne Flinstad Harbo, Fredrik Piehl, Tobias Granberg and Lars T. Westlye
University of Oslo - Institute of Clinical Medicine, University of Oslo - NORMENT, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, University of Oslo - Department of Neurology, University of Oslo - Department of Neurology, University of Oslo - Department of Neurology, University of Oslo - Institute of Clinical Medicine, University of Oslo - Division of Radiology and Nuclear Medicine, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Neuroimmunology Unit, University of Oslo - Department of Neurology, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Neurology, Karolinska Institutet - Neuroimmunology Unit, Karolinska Institutet - Department of Clinical Neuroscience and University of Oslo - Department of Psychology
Downloads 204 (371,419)
Citation 2

Abstract:

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multiple sclerosis, machine learning, magnetic resonance imaging, longitudinal, biomarker

A Comparison of Brain Age Estimation And Brain Parenchymal Fraction as Imaging Markers in Multiple Sclerosis

Number of pages: 21 Posted: 23 Jul 2022
Einar August Høgestøl, Tobias Kaufmann, Ann-Marie G. de Lange, Thomas Moridi, Leszek Stawiarz1, Russel Ouellette, Mads L. Pedersen, Benjamin Victor Ineichen, Dani Beck, Daniel Ferrerira, Sebastian Muehlboeck, Synne Brune, Gro Owren Nygaard, Pål Berg-Hansen, Mona Kristiansen Beyer, Piotr Sowa, Ali Manouchehrinia, Eric Westman, Tomas Olsson, Elisabeth Gulowsen Celius, Jan Hillert, Ingrid Skelton Kockum, Hanne Flinstad Harbo, Fredrik Piehl, Tobias Granberg and Lars T. Westlye
University of Oslo - Institute of Clinical Medicine, University of Oslo - NORMENT, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Psychology, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, University of Oslo - Department of Neurology, University of Oslo - Department of Neurology, University of Oslo - Department of Neurology, University of Oslo - Institute of Clinical Medicine, University of Oslo - Division of Radiology and Nuclear Medicine, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Neuroimmunology Unit, University of Oslo - Department of Neurology, Karolinska Institutet - Department of Clinical Neuroscience, Karolinska Institutet - Department of Clinical Neuroscience, University of Oslo - Department of Neurology, Karolinska Institutet - Neuroimmunology Unit, Karolinska Institutet - Department of Clinical Neuroscience and University of Oslo - Department of Psychology
Downloads 124 (582,609)

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multiple sclerosis, brain age estimation, machine learning, longitudinal

2.

Stage vs. Subtype Hypothesis in Alzheimer's Disease: A Multi-Cohort and Longitudinal Bayesian Clustering Study

Number of pages: 23 Posted: 04 Mar 2021
Konstantinos Poulakis, Joana Braga Pereira, J-Sebastian Muehlboeck, Lars-Olof Wahlund, Örjan Smedby, Giovanni Volpe, Colin L. Masters, David Ames, Yoshiki Niimi, Takeshi Iwatsubo, Daniel Ferreira, Eric Westman, AddNeuroMed Consortium Group, Alzheimer’s Disease Neuroimaging Initiative Group and Japanese Alzheimer’s Disease Neuroimaging Initiative Group
Karolinska Institutet - Center for Alzheimer's Research, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Royal Institute of Technology (KTH) - Department of Biomedical Engineering and Health Systems (MTH), University of Gothenburg - Department of Physics, University of Melbourne - Florey Institute of Neuroscience and Mental Health, University of Melbourne - Academic Unit for Psychiatry of Old Age, University of Tokyo - Unit for Early and Exploratory Clinical Development, University of Tokyo - Department of Neuropathology, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Independent, Independent and Independent
Downloads 112 (630,858)
Citation 5

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3.

Temporal Muscle Thickness Predicts Mortality and Disability in Older Adults Diagnosed with Mild Dementia

Number of pages: 27 Posted: 28 Nov 2023
Miguel German Borda, Jonathan Patricio Baldera, Daniela Patino-Hernandez, Eric Westman, Mario Ulises Perez-Zepeda, Francisco José Tarazona-Santabalbina, Hidetaka Wakabayashi, Hidenori Arai, Miia Kivipelto and Dag Aarsland
Pontifical University Javeriana Cali - Semillero de Neurociencias y Envejecimiento, University of Stavanger - Stavanger University Hospital, Pontificia Universidad Javeriana, Karolinska Institutet - Department of Neurobiology, Care Sciences and Society, Universidad Anáhuac Oaxaca (UA), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), National Center for Geriatrics and Gerontology, National Center for Geriatrics and Gerontology, Karolinska Institutet and King’s College London - Institute of Psychiatry, Psychology and Neuroscience
Downloads 72 (860,052)

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Sarcopenia, dementia, Temporal muscle thickness (TMT), muscle, functionality, malnutrition